When the window to act is measured in milliseconds, delayed insights aren’t just inconvenient – they’re a liability. That’s why more companies are turning to real-time data solutions that can handle the load, scale with demand, and keep up with live operations. From finance to logistics, healthcare to telecom, this overview highlights top European firms that specialize in real-time data processing – not as a side capability, but as a core strength.
1. A-listware
A-listware delivers real-time data processing services for businesses across Europe. Our teams specialize in handling fast-moving, high-volume data that needs to be processed the moment it arrives – whether it’s from trading systems, logistics operations, medical devices, or manufacturing sensors. We’re focused on use cases where timing isn’t a nice-to-have – it’s critical.
We work closely with companies in finance, healthcare, logistics, and industrial tech, helping them build infrastructure and applications that keep up with the pace of live data. We design and maintain stream processing systems, analytics pipelines, and backend integrations that are reliable under pressure. We don’t just build and leave – we stay involved, ensuring delivery, scaling, and system resilience throughout the project lifecycle.
Key Highlights:
- Provides real-time data engineering support across Europe
- Work with both cloud-native and hybrid architectures
- Engineers experienced in building live data platforms
- Seamless integration with in-house development teams
- Able to assemble teams in 2 to 4 weeks
- Ongoing infrastructure support and project continuity
Services:
- Real-time data infrastructure setup
- Cloud-native platform development (AWS, Azure, GCP)
- Backend engineering for data-heavy applications
- System modernization and migration
- DevOps and infrastructure automation
Contact Information:
- Website: a-listware.com
- E-mail: info@a-listware.com
- Facebook: www.facebook.com/alistware
- LinkedIn: www.linkedin.com/company/a-listware
- Address: St. Leonards-On-Sea, TN37 7TA, UK
- Phone: +44 (0)142 439 01 40
2. Onyx Data
Onyx Data works with clients in the UK and Europe to help them capture, process, and use real-time data more effectively. Their focus is on simplifying what can often be an overwhelming data landscape, helping clients turn complex pipelines into something understandable and maintainable.
Rather than acting only as a vendor, they often position themselves as part of the client’s internal data environment – bridging data sources, managing structure, and reducing time-to-action. Whether it’s responding to operational events, feeding live dashboards, or supporting decision-making on the fly, they help teams take practical steps toward real-time without overspending on infrastructure or overengineering the stack.
Key Highlights:
- Based in London with reach across the UK and Europe
- Practical focus on simplifying real-time architectures
- Combines technical build with analytics consulting
- Works across multiple sectors including retail, ops, and customer service
- Involved in open data and community projects like DataDNA
Services:
- Real-time analytics and insight delivery
- Streaming data architecture and deployment
- System design for in-memory processing
- Integration of machine learning into live pipelines
Contact Information:
- Website: onyxdata.co.uk
- E-mail: contact@onyxdata.co.uk
- Facebook: www.facebook.com/OnyxData
- LinkedIn: www.linkedin.com/company/onyxdata
- Instagram: www.instagram.com/onyxdata
- Address: 16 Upper Woburn Place, London, Greater London, WC1H 0AF, United Kingdom
- Phone: +44 204 534 7858
3. big xyt
Big xyt focuses on real-time data processing for capital markets, with an emphasis on European trading activity. Their solution handles vast quantities of tick data and is built to help financial institutions monitor liquidity, pricing benchmarks, and trading behavior as it happens. The system runs on their proprietary European consolidated tape, offering a unified view of fragmented markets through a normalised data set.
They’re positioned in major data centers to pull and process live market feeds across a wide range of securities. This architecture is set up to handle volatility and spikes in traffic without compromising accuracy. Firms using their tools can track intraday trends, spot off-book trades, and get insight into changing liquidity patterns in near real time.
Key Highlights:
- Real-time processing of European trade and quote data
- Normalised datasets based on a proprietary consolidated tape
- Available via API and web interfaces
- Deployed in co-location centers for high feed reliability
- Designed for trading desks, exchanges, and analytics teams
Services:
- Real-time liquidity tracking across equities and ETFs
- Market share and volume monitoring during the trading day
- Off-book and OTC trade detection
- Execution analytics and transaction cost analysis (TCA)
Contact Information:
- Website: big-xyt.com
- E-mail: info@big-xyt.com
- Twitter: x.com/bigxyt
- LinkedIn: www.linkedin.com/company/big-xyt
- Address: Kettenhofweg 55, 60325 Frankfurt am Main, Germany
- Phone: +49 69 97 69 78 86
4. TEKsystems
TEKsystems supports large enterprises in Europe that need to build or fix real-time data infrastructure, often after an earlier phase has gone off-track. They’re brought in to solve bottlenecks, rework flawed architecture, or add the missing people that existing vendors failed to supply. Their work tends to focus on scaling internal platforms, especially in organizations trying to move toward customer-centric, data-driven operations.
They’ve worked on real-time systems tied to central data platforms, building pipelines that support multiple departments without collapsing under load. Rather than just handing over staff, they manage performance, help retain talent, and make sure delivery actually happens. Their teams tend to work behind the scenes on critical systems, doing the less visible but essential work of making data usable in real time.
Key Highlights:
- Delivery teams available throughout Europe
- Helps enterprises fix or rebuild broken data systems
- Deep experience in Central Data Platforms (CDP)
- Able to scale internal data capabilities quickly
- Strong emphasis on hiring and retention
Services:
- Real-time data infrastructure design
- Talent deployment for in-house engineering teams
- System rearchitecture and performance tuning
- Data organization and model rebuilding
- Support for multi-team CDP integration
Contact Information:
- Website: www.teksystems.com
- Address: The Marquis Building, Rue du Marquis 1, Brussels 1000, Belgium
- Phone: +32 (0)2 55 22 100
5. Xebia
Xebia works with companies across Europe to help them get real-time data processing off the ground without having to rebuild everything from scratch. Their approach combines existing cloud platforms with a structured way of building pipelines, governance layers, and analytics tooling. They tend to work with medium and large enterprises that are either modernizing data infrastructure or trying to scale existing systems for higher demand and more complex decision-making.
They work across industries – logistics, insurance, media, and retail among others – helping clients move from traditional batch setups to event-driven or streaming models. They focus heavily on integrating real-time processing into day-to-day operations, not just setting up dashboards.
Key Highlights:
- Operates across multiple EU countries
- Works with cloud-native and hybrid data architectures
- Emphasis on data quality, compliance, and governance
- Supports both engineering teams and business analysts
- Experience with real-time use cases in logistics, media, and finance
Services:
- Real-time streaming architecture (Kafka, Flink)
- Data pipeline design and optimization
- MLOps integration for live model deployment
- Data governance and security setup
- Dashboard and reporting tool integration
- Training and enablement for internal teams
Contact Information:
- Website: xebia.com
- Facebook: www.facebook.com/XebiaGlobal
- Twitter: x.com/Xebia_Global
- LinkedIn: www.linkedin.com/company/xebia
- Instagram: www.instagram.com/life_at_xebia_global
- Address: Wibautstraat 200, 1091 GS Amsterdam
- Phone: +31(0)20 760 9844
6. NaNLABS
NaNLABS builds low-latency, cloud-native systems for clients who need to respond to data as it happens. Their work is typically geared toward organizations that have real-time constraints – fast-moving financial services, IoT platforms, or large-scale infrastructure networks. They focus on building pipelines that don’t just stream data, but also enable automated reactions like alerting, failover, or real-time pricing adjustments.
They support clients from Europe and the US, often in environments where downtime or delay has high cost. They work with event-driven microservices, anomaly detection models, and streaming dashboards that provide operational visibility without lag. The focus isn’t just on building a processing system but on making sure the team using it has reliable access to timely, structured data that enables faster decisions.
Key Highlights:
- Offices in Argentina, France, and the US
- Real-time architectures tailored to low-latency environments
- Focus on automation and anomaly detection
- Works across finance, energy, mobility, and IoT sectors
- Combines cloud-native setups with event-driven services
Services:
- Real-time data pipelines with event-based triggers
- Stream processing and analytics for operational platforms
- Dashboards and live monitoring interfaces
- ML model optimization for predictive workflows
- Serverless architecture for scalable data processing
Contact Information:
- Website: www.nan-labs.com
- E-mail: ask@nan-labs.com
- LinkedIn: www.linkedin.com/company/nan-labs
- Instagram: www.instagram.com/nanlabs
- Address: 16 Rue de Bucarest, Paris, France
7. Cloudera
Cloudera offers a stream processing platform built around Apache Flink and Kafka, designed for enterprises looking to centralize real-time data ingestion and analysis. Their system is typically used by companies that already manage large data volumes and need more structure around how they detect, process, and react to events as they happen. The platform integrates with multiple cloud and on-prem environments.
The company supports real-time use cases like fraud detection, offer personalization, and system monitoring. They provide tooling for developers and data teams to collaborate on stream-based pipelines using SQL or REST. Their clients tend to be banks, telecom providers, and manufacturers working with both analytics and transactional data.
Key Highlights:
- Platform-based model used across EU markets
- Built on Apache Kafka and Flink
- Focus on hybrid cloud and enterprise-grade deployments
- Common in regulated industries like finance and telecom
- Streamlined tools for developers and analysts
Services:
- Streaming platform deployment (cloud or on-prem)
- Support for stateful event processing
- SQL-based real-time analytics interfaces
- Integration with existing BI and data lake tools
Contact Information:
- Website: www.cloudera.com
- Facebook: www.facebook.com/cloudera
- Twitter: x.com/cloudera
- LinkedIn: www.linkedin.com/company/cloudera
- Address: Office 5.03, Evert van de Beekstraat 354, 1118 CZ Schiphol, Netherlands
- Phone: +1 650 362 0488
8. Edvantis
Edvantis supports organizations across Europe with custom data science and real-time analytics services. Their approach combines applied machine learning, data engineering, and BI workflows to help clients react faster to changing conditions and make better use of streaming data. They focus on embedding analytics capabilities directly into product workflows, enabling real-time decision-making across operations, logistics, healthcare, and finance.
They don’t offer a packaged solution – instead, they step in where needed to build or restructure pipelines, apply forecasting models, and align data access with business priorities. Their teams cover everything from initial architecture audits to production-grade integration. Most engagements are long-term, with ongoing releases, patch cycles, and joint R&D.
Key Highlights:
- Long-term delivery model with European client base
- Combines predictive models with real-time processing
- Focus on integration into live business systems
- Experience in healthcare, real estate, and media tech
- Supports both staff augmentation and managed services
Services:
- Real-time analytics integration
- Predictive model deployment and optimization
- Stream processing and anomaly detection
- Data warehouse optimization for live updates
- BI reporting with real-time dashboards
- Cloud migration and infrastructure tuning
Contact Information:
- Website: www.edvantis.com
- E-mail: engagement@edvantis.com
- Facebook: www.facebook.com/edvantis
- LinkedIn: www.linkedin.com/company/edvantis
- Instagram: www.instagram.com/edvantis
- Address: Friedrichstr. 171, 10117, Berlin, Germany
9. N-iX
N-iX provides real-time and large-scale data processing capabilities to companies across finance, telecom, retail, and manufacturing sectors in Europe. Their teams build data infrastructure from the ground up or refactor legacy systems that can’t keep up with volume and speed. Their focus is on creating data platforms that remain stable under load while also being flexible enough to support AI and ML applications down the line.
Their engineering services cover the full spectrum – from event-driven pipelines and metadata management to cloud storage and live dashboards. In many cases, they work directly with internal IT and data science teams, focusing on getting the backend right so front-line teams can act on data as it happens.
Key Highlights:
- Delivers end-to-end data infrastructure across Europe
- Combines batch and stream processing in one system
- Prioritizes long-term stability and low-latency response
- Works with regulated industries including healthcare and finance
- Offers advisory, engineering, and support as a package
Services:
- Real-time data pipeline development
- Stream processing with Apache Flink and Kafka
- Integration of data lakes, warehouses, and lakehouses
- Data platform migration and modernization
Contact Information:
- Website: www.n-ix.com
- E-mail: contact@n-ix.com
- Facebook: www.facebook.com/N.iXUKR
- Twitter: x.com/N_iX_Global
- LinkedIn: www.linkedin.com/company/n-ix
- Address: 43A Ul. Zabłocie, Krakow, Poland
- Phone: +442037407669
10. DCCS
DCCS works with European clients to turn legacy systems and disconnected IT environments into responsive, real-time data platforms. They focus on use cases where timing matters – retail, logistics, customer service – and build central architectures that allow teams to make decisions based on current information, not outdated reports.
Rather than just plugging in dashboards, DCCS tends to go deeper into how data flows through the business. They use stream processing to connect backend systems, trigger logic based on customer behavior, and adapt operations in real time. Their work covers both the tech and the process layer, meaning they’re often involved in how teams use and respond to the data as much as in how it’s structured and stored.
Key Highlights:
- Based in Austria and Germany, serving clients across Europe
- Focus on retail and logistics real-time integrations
- Helps connect legacy systems with modern data streams
- Event-driven architecture adapted to client infrastructure
- Offers custom development and operational support
Services:
- Realtime data platform setup with Kafka-based architecture
- Integration of transactional and operational systems
- Development of dashboards, portals, and apps with live data
- Automation of workflows using event triggers
Contact Information:
- Website: www.dccs.eu
- E-mail: office@dccs.eu
- LinkedIn: www.linkedin.com/company/dccs-gmbh
- Address: DCCS Deutschland GmbH, Isaac-Fulda-Allee 5, 55124 Mainz, Germany
- Phone: +49 3221 2300100
Conclusion
There’s no shortage of vendors claiming to handle real-time data. But when you strip away the buzzwords, it comes down to whether the systems actually hold up under pressure – live feeds, unpredictable loads, sharp latency requirements, and the need for clear, usable output. The companies in this list don’t just offer real-time processing as a feature buried under five others. They build for it, optimize around it, and run it in production at scale.
If you’re operating in a space where a few seconds make a difference – whether that’s fraud detection, dynamic pricing, or algorithmic trading – choosing the right tech partner matters. And as always, it’s not just about the tools, it’s about the way teams work with you to get the thing running and keep it stable once it’s live. That’s where the gap usually shows up – or doesn’t.
